Japan vs Myanmar (Burma): Days above 35 °C

Days above 35 °C in 2014: 0 days in Japan and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 28.8 days.

Watch it change on the map

days a year · CMIP6

JapanMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Myanmar (Burma) has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Japan at 1.2 days and Myanmar (Burma) at 57 days in 2100.

Every year

days a year · CMIP6

Year	Japan	Myanmar (Burma)
2014	0	28.8
2013	0	28
2012	0	27.5
2011	0	27.4
2010	0	27.9
2009	0	27.3
2008	0	27.2
2007	0	25.4
2006	0	26.8
2005	0	25
2004	0	28.3
2003	0	26.4
2002	0	27.4
2001	0	28.4
2000	0	26.6
1999	0	26.1
1998	0	26.4
1997	0	26.2
1996	0	24.7
1995	0	25.5
1994	0	24.3
1993	0	23.9
1992	0	20.5
1991	0	28.4
1990	0	26.3
1989	0	23.8
1988	0	23.9
1987	0	25.4
1986	0	26.6
1985	0	23.6
1984	0	25.8
1983	0	23.2
1982	0	24
1981	0	23.8
1980	0	23.5
1979	0	25.3
1978	0	23.4
1977	0	24.1
1976	0	25.6
1975	0	22.3
1974	0	24.1
1973	0	25.9
1972	0	23.1
1971	0	22.8
1970	0	24.2
1969	0	23.6
1968	0	23.4
1967	0	24.1
1966	0	23.1
1965	0	23.3
1964	0	21.7
1963	0	23.2
1962	0	24.4
1961	0	24.9
1960	0	26.2
1959	0	22.6
1958	0	25
1957	0	24.1
1956	0	25
1955	0	24.5
1954	0	25.3
1953	0	23.5
1952	0	26.1
1951	0	25
1950	0	23.8

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	Japan	Myanmar (Burma)
2015	00–0.3	28.518.5–40
2016	00–0.2	27.717.3–38.7
2017	00–0.1	2818.9–38.5
2018	00–0.3	29.818.6–41.2
2019	00–0.4	28.218.2–41.3
2020	00–0.3	28.616.8–41.4
2021	00–0.3	29.719.4–40.8
2022	00–0.2	31.521.7–42.7
2023	00–0.5	30.319.9–41.6
2024	00–0.4	31.720.1–43.7
2025	00–0.3	32.721.3–44.8
2026	00–0.4	30.420.3–44.5
2027	00–0.3	30.620.4–44.2
2028	00–0.3	31.119–43
2029	00–0.5	32.720.9–46.4
2030	0.10–0.8	32.619.3–45
2031	0.10–0.7	32.721.3–45.2
2032	00–0.3	32.119.6–45.4
2033	0.10–0.9	33.322–43.8
2034	00–0.5	31.322–43.5
2035	0.10–1.4	32.620.4–49
2036	0.10–0.9	33.322.7–46.1
2037	0.10–0.8	34.322.6–49.1
2038	0.10–0.8	35.824.4–49.9
2039	0.10–0.9	34.920.9–49
2040	0.10–1.2	3419.2–51.2
2041	0.10–1.2	3724.8–51.9
2042	0.10–1.2	36.223–49.9
2043	0.10–1.2	34.522.6–47.7
2044	0.10–1.9	38.222.1–51.2
2045	0.20–1.3	35.924.2–50.7
2046	0.20–1.5	38.425.2–57.1
2047	0.20–1.2	38.824.1–56.1
2048	0.20–1.8	40.323.4–58.7
2049	0.20–1.1	40.625.2–58.1
2050	0.20–1.9	40.226.5–55.3
2051	0.10–1.3	41.726.7–56.8
2052	0.20–1.3	40.326.3–61.2
2053	0.10–1.5	41.323.6–61.5
2054	0.20–1.8	42.426.8–60.9
2055	0.20–2.1	41.428.5–61.9
2056	0.40–2	42.726.5–63
2057	0.30–3.1	43.226.3–63.2
2058	0.30–2.7	44.526.8–63.6
2059	0.30–1.8	43.729.1–65.3
2060	0.40–2.4	47.428.3–66
2061	0.40–2.7	46.729.5–64.5
2062	0.40–2.3	47.126.7–68.6
2063	0.30–2.9	46.929–66.4
2064	0.30–3.8	47.527.9–66.1
2065	0.40–3.3	42.427.5–62.4
2066	0.60–2.9	46.228.9–68.8
2067	0.50.1–2.6	4125.7–63.6
2068	0.60–3.5	46.928–70.4
2069	0.40–2.6	48.729.3–70.1
2070	0.60–3	43.927.5–64.3
2071	0.50–3.4	4926.2–71.9
2072	0.80.1–3.4	4730.6–71.4
2073	0.40–2.7	50.732.2–74
2074	0.70.1–2.4	4829.2–74
2075	0.80–3.1	49.126.1–68.9
2076	0.80–3.1	47.826.5–72.8
2077	0.90.1–3.4	51.832.9–76.1
2078	0.90–3.7	50.632.4–75.6
2079	0.70.1–3.7	50.730.5–77
2080	0.50–3.4	53.331.3–79.5
2081	0.70–4.5	5235.5–79.1
2082	0.80–4.3	52.532.5–76.8
2083	0.80–4.8	51.730.5–79.6
2084	0.70–4.9	52.329.5–76
2085	0.90–4.6	51.232.9–79.4
2086	1.10.1–5	52.632.5–80.1
2087	0.60–4.2	51.732.6–77.9
2088	0.90–5	50.727.2–88.8
2089	1.20–4.4	52.731.4–86.3
2090	10.1–3.3	54.231.1–80.1
2091	1.20.1–4.4	53.235.4–80.1
2092	10.1–5.9	54.135.4–85.5
2093	1.30–4.1	5235.6–85
2094	0.80–4.7	54.434.9–80.7
2095	0.80.1–5.1	58.535.1–84.3
2096	1.90–5.7	52.832.3–84.1
2097	10.1–4	53.230.4–82.8
2098	10–4	55.334.4–83.8
2099	0.90.1–4.8	55.233.1–84.7
2100	1.20–4.1	5734.6–84

Each country on its own

Good to know

Days in a year whose highest temperature passes 35 °C, averaged over the country.
Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

Japan vs Myanmar (Burma): Days above 35 °C

What the numbers say

Every year

Each country on its own

Good to know

Japan vs Myanmar (Burma)

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